Mesenchymal stem cells (MSCs) have been widely used in the treatment of various autoimmune and inflammation-related diseases due to their potent immunomodulatory properties. Several studies have demonstrated that MSC-mediated immunomodulation is complex and bidirectional, with the in vivo microenvironment influencing the direction of this modulation. Indoleamine-2,3-dioxygenase (IDO), an immunosuppressive factor, has been identified as a key "switch" in the immunomodulatory role of MSCs. In this review, we explore how IDO functions as a critical regulator of MSC immunoregulatory plasticity. We delve into the mechanisms by which changes in IDO expression affect the function of various immune cells, summarize relevant research and clinical advances regarding the role of IDO expression in MSC-based therapies for various diseases, and discuss potential therapeutic strategies that target IDO to enhance the stability of MSC therapeutic effects. This provides a theoretical foundation for optimizing MSCs as safer and more effective clinical therapeutic agents.

Advancements in artificial intelligence (AI) and emerging technologies are rapidly expanding the exploration of chemical space, facilitating innovative drug discovery. However, the transformation of novel compounds into safe and effective drugs remains a lengthy, high-risk, and costly process. Comprehensive early-stage evaluation is essential for reducing costs and improving the success rate of drug development. Despite this need, no comprehensive tool currently supports systematic evaluation and efficient screening. Here, we present druglikeFilter, a deep learning-based framework designed to assess drug-likeness across four critical dimensions: 1) physicochemical rule evaluated by systematic determination, 2) toxicity alert investigated from multiple perspectives, 3) binding affinity measured by dual-path analysis, and 4) compound synthesizability assessed by retro-route prediction. By enabling automated, multidimensional filtering of compound libraries, druglikeFilter not only streamlines the drug development process but also plays a crucial role in advancing research efforts towards viable drug candidates, which can be freely accessed at https://idrblab.org/drugfilter/.

Purpose/Significance Based on international cases,the paper analyzes the application development of artificial intelli-gence(Al)technology in the medical field,and provides references for improving the application of AI technology in the medical field in China.Method/Process The literature is searched on CNKI,and institutions with high influence in the international health technology industry are selected according to the exclusion criteria for further analysis.Result/Conclusion A total of 8 AI medical technologies relat-ed to health technology industries or teams in 7 countries are selected and included,based on the convenience and advantages brought by them,to provide references to explore and improve the research and application of AI in the medical field.

Objective Through the study of different grades for Atractylodis macrocephalae Rhizoma decoction pieces,improve the quality evaluation method,and provide theoretical basis for the classification of Atractylodis macrocephalae Rhizoma.Methods According to the traditional classification,the Atractylodis macrocephalae Rhizoma decoction pieces was divided into three grades.By HPLC and UV method,the determination of atractylodes lactone Ⅰ,Ⅱ,Ⅲ and the content of total polysaccharide for 36 batches of different grades of Atractylodis macrocephalae Rhizoma decoction pieces.According to the 2020 edition of Chinese pharmacopoeia,the correlation between the appearance traits of different grades of Atractylodis macrocephalae Rhizoma decoction pieces and the internal quality control indexes was analyzed.Results According to the appearance characters,multiple quality control index of content determination,through the principal component analysis,cluster analysis and so forth.The quality of first-grade decoction pieces of Atractylodis macrocephalae Rhizoma is significantly better than the second-grade and third-grade decoction pieces(P<0.05),and there is no significant difference between second-grade and third-grade decoction pieces(P>0.05).As a result,the Atractylodis macrocephalae Rhizoma decoction pieces can be divided into two grades,different grades with the content of atractylodes lactone and total polysaccharide were positively correlated.Conclusion The classification of Atractylodis macrocephalae Rhizoma decoction pieces based on multiple quality control indexes combined with appearance characters can provide a scientific basis for the quality control and grade study of this decoction piece.

Objective To explore the clinical value of preoperative Glasgow-Blatchford score(GBS)and AIMS65 score in predicting the prognosis of patients with non-variceal upper gastrointestinal bleeding after receiving interventional treatment.Methods The clinical data of 59 patients with non-variceal upper gastrointestinal bleeding,who received transcatheter arterial embolization(TAE)at the Department of Interventional Vascular Surgery,Shanghai Tenth People's Hospital of China between 2018 and 2021,were collected.The clinical value of GBS and AIMS65 score in predicting patient's outcome was analyzed.Results With the preoperative GBS and AIMS65 scores increasing,the mortality also increased.Compared with AIMS65 score(AUC=0.630,0.95％CI:0.494-0.752),GBS(AUC=0.823,95％CI:0.702-0.910)had a higher predictive value for postoperative in-hospital death in patients with non-variceal upper gastrointestinal bleeding after receiving interventional treatment.With a GBS cutoff＞9 points,the Youden index for predicting in-hospital death was 0.54.Conclusion In predicting the postoperative in-hospital death for patients with non-variceal upper gastrointestinal bleeding after receiving TAE,the clinical value of the preoperative GBS score is higher than that of AIMS65 score.

Objective:To explore the strategy of prostate biopsy in patients with prostate specific antigen(PSA)gray zone based on prostate imaging reporting and data system (PI-RADS).Methods:The clinical data of 427 patients who underwent transperineal prostate biopsy in the First Affiliated Hospital of Nanjing Medical University from January 2020 to December 2022 were retrospectively analyzed. The median age was 66 (61, 72) years old. The median PSA was 6.62 (5.46, 8.19) ng/ml. The median PSA density (PSAD) was 0.15 (0.11, 0.21) ng/ml 2. The median prostate volume (PV) was 43.68 (31.12, 56.82) ml. PSA velocity (PSAV) data were available in 65 patients with negative MRI examination(PI-RADS <3), and the median PSAV was 1.40 (0.69, 2.89) ng/(ml· year). Among the patients with positive MRI(PI-RADS≥3), there were 174 patients with only 1 lesion and 83 patients with ≥2 lesions. A total of 170 patients with negative MRI underwent systematic biopsy, and 257 patients with positive MRI underwent systematic combined targeted biopsy. The PI-RADS score, regions of interest(ROI), PSAD, f/tPSA and PSAV were analyzed to explore the biopsy strategy for patients with PSA gray area based on bpMRI imaging. Results:Of the 427 patients included in the study, 194 were positive and 233 were negative. Among the patients with positive biopsy pathology, 140 cases were clinically significant prostate cancer (CsPCa). Among the MRI-negative patients, there were 33 cases with PSAV ≥1.4 ng/(ml·year), and 10 cases of prostate cancer and 6 cases of CsPCa were detected by systematic biopsy.In 32 cases with PSAV <1.4 ng/(ml·year), 3 cases of prostate cancer and 0 case of CsPCa were detected by systematic biopsy. The sensitivity of systematic biopsy for the diagnosis of prostate cancer and CsPCa in patients with PSAV≥1.4 ng/(ml·year) were 76.9% (10/13) and 100.0% (6/6) respectively, the specificity were 55.8% (29/52) and 54.2% (32/59) respectively, the negative predictive value were 90.6% (29/32) and 100.0% (32/32) respectively, and the positive predictive value were 30.3% (10/33) and 18.2% (6/33) respectively. In MRI-positive patients with PI-RADS 3, the prostate cancer detection rates of targeted biopsy combined with systematic biopsy, systematic biopsy and targeted biopsy were 41.7% (45/108), 32.4% (35/108) and 35.2% (38/108), respectively ( P=0.349). The detection rates of CsPCa were 27.8% (30/108), 21.3% (23/108) and 25.0% (27/108), respectively ( P=0.541). In patients with PI-RADS 4-5 and PSAD > 0.15 ng/ml 2, the detection rates of CsPCa in targeted biopsy combined with systematic biopsy, systematic biopsy and targeted biopsy were 67.8% (61/90), 58.9% (53/90) and 67.8% (61/90), respectively ( P=0.354). Conclusions:For MRI-negative patients, all CsPCa could be detected by perineal systematic biopsy when PSAV ≥1.4 ng/(ml·year), and active observation could be performed when PSAV <1.4 ng/(ml·year). For MRI-positive patients, targeted combined systemic biopsy was required when PI-RADS score was 3, and targeted biopsy only could be performed when PI-RADS score ≥4 and PSAD >0.15 ng/ml 2, otherwise targeted combined systemic biopsy was required.

Recently, small nucleolar RNAs (snoRNAs) have transcended the genomic "noise" to emerge as pivotal molecular markers due to their essential roles in tumor progression. Substantial evidence indicates a strong association between snoRNAs and critical clinical features such as tumor pathology and drug resistance. Historically, snoRNA research has concentrated on two classical mechanisms: 2'-O-ribose methylation and pseudouridylation. This review specifically summarizes the novel regulatory mechanisms and functional patterns of snoRNAs in tumors, encompassing transcriptional, post-transcriptional, and post-translational regulation. We further discuss the synergistic effect between snoRNA host genes (SNHGs) and snoRNAs in tumor progression. More importantly, snoRNAs extensively contribute to the development of tumor cell resistance as oncogenes or tumor suppressor genes. Accordingly, we provide a comprehensive review of the clinical diagnosis and treatment associated with snoRNAs and explore their significant potential as novel drug targets.

Cerebral microbleeds (CMBs) are an imaging biomarker of cerebral small vessel disease (CSVD). Researches have shown that CMBs are a risk factor for hemorrhagic transformation and poor outcomes after reperfusion therapy in patients with acute ischemic stroke. This article reviews the relationship between CMBs and the outcomes of reperfusion therapy in patients with acute ischemic stroke.

Surgical resection in patients with advanced primary carcinoma of liver has high risks of early recurrence and incidence of portal vein tumor thrombus, caused by insufficient resi-dual liver volume after two-steps hepatotomy. At present, the treatment for patients with advanced primary carcinoma of liver is limited, thus can't satisfy the requirement of patient for treatment. The authors introduce the clinical experience of a patient with hepatocellular carcinoma and insufficient residual liver volume who underwent preventive immunotherapy plus target therapy after associa-ting liver partition and portal vein ligation for staged hepatectomy, in order to provide reference for relevant treatment.

OBJECTIVES: With the increasing detection rate of lung nodules, the qualitative problem of lung nodules has become one of the key clinical issues. This study aims to evaluate the value of combining dynamic contrast-enhanced (DCE) MRI based on time-resolved imaging with interleaved stochastic trajectories-volume interpolated breath hold examination (TWIST-VIBE) with T₁ weighted free-breathing star-volumetric interpolated breath hold examination (T₁WI star-VIBE) in identifying benign and malignant lung nodules. METHODS: We retrospectively analyzed 79 adults with undetermined lung nodules before the operation. All nodules of patients included were classified into malignant nodules (n=58) and benign nodules (n=26) based on final diagnosis. The unenhanced T₁WI-VIBE, the contrast-enhanced T₁WI star-VIBE, and the DCE curve based on TWIST-VIBE were performed. The corresponding qualitative [wash-in time, wash-out time, time to peak (TTP), arrival time (AT), positive enhancement integral (PEI)] and quantitative parameters [volume transfer constant (Ktrans), interstitium-to-plasma rate constant (Kep), and fractional extracellular space volume (Ve)] were evaluated. Besides, the diagnostic efficacy (sensitivity and specificity) of enhanced CT and MRI were compared. RESULTS: There were significant differences in unenhanced T₁WI-VIBE hypo-intensity, and type of A, B, C DCE curve type between benign and malignant lung nodules (all P<0.001). Pulmonary malignant nodules had a shorter wash-out time than benign nodules (P=0.001), and the differences of the remaining parameters were not statistically significant (all P>0.05). After T₁WI star-VIBE contrast-enhanced MRI, the image quality was further improved. Compared with enhanced CT scan, the sensitivity (82.76% vs 80.50%) and the specificity (69.23% vs 57.10%) based on MRI were higher than that of CT (both P<0.001). CONCLUSIONS T₁WI star-VIBE and dynamic contrast-enhanced MRI based on TWIST-VIBE were helpful to improve the image resolution and provide more information for clinical differentiation between benign and malignant lung nodules.
Adult ; Humans ; Retrospective Studies ; Magnetic Resonance Imaging ; Plasma ; Tomography, X-Ray Computed ; Lung